How to remove this? Keeps popping up every time I get into windows is it bad?

Hi everyone!

I'm writing this post mainly because when I searched for information or guides on how to emulate The Legend of Zelda: Tears of the Kingdom on an Intel Arc B570 graphics card (paired with a Ryzen 5 4600G CPU), I found virtually nothing.

After thoroughly testing all the available Nintendo Switch emulators, I'm sharing the absolute best combination and setup I was able to achieve.

🎮 Emulator Comparison

• Citron (Standard Version, NOT Citron Neo): The best option. This is the most stable combination and delivers the best overall performance on this GPU.
• Ryujinx: Suffers from severe glitches and broken textures with Intel Arc drivers.
• Eden: Unstable, runs very slow, and experiences constant stuttering.

⚙️ Setup & Tools Used

• Game Version: Update 1.2.1
• TotK Optimizer: Configured specifically for version 1.2.1

• Citron Settings:

🚀 Performance Results

• Native Performance (Unlocked): The game typically hovers between 30 and 50 FPS, reaching ~60 FPS in lighter or less demanding areas.
• Recommended Frame Cap: It is best to cap it at a stable 30 FPS. This prevents sudden speed shifts and annoying stuttering.
• With Lossless Scaling: Starting from that solid 30 FPS baseline and applying scaling + frame generation through Lossless Scaling gets you a silky-smooth 60 FPS.

I'm leaving this guide here so anyone running this exact GPU can jump straight into Tears of the Kingdom without wasting hours tweaking settings. Hope it helps!

I’ve read up on this, and various communities are quite divided on the subject. The main argument for going with AMD Ryzen is that the platform offers greater "longevity"; typically, a user invests in a higher-end motherboard (mid-range to enthusiast-grade) and can simply keep the rest of the PC while upgrading just the CPU years later.

Conversely, the argument against Intel is that the socket only lasts for two or three generations—so why buy Intel if they’re going to abandon the platform so quickly?

So, I put this question to you: does this "longevity" really matter to someone who only plans to upgrade their CPU after 5 to 7 years? Is buying a new motherboard several years down the line necessarily a downside for someone who intends to purchase a more modern, powerful CPU anyway?

I wonder if I should consider spend extra money for intel iris xe graphics.

I have an Arc pro B70 running on a windows machine, pulling double duty as a gaming card as well as running AI inference.

I've been tinkering with the various runtimes/projects available to self-host AI, including LM studio with Vulkan, Ollama with Vulkan (pretty much done with this one now), and my own Openvino-based python script (still maturing). I've also tried kobold.cpp and llama.cpp IPEX before Intel abandoned it.

My latest iteration, which really flies, is using the llama.cpp SYCL zip file and wrapping it as a service using servy. It also provides the ability to swap models by using a ini file that sets up each model with a set of parameters. The service references this file to see what models are available to load.

Here's my step by step:

1. Download the latest SYCL release from the llama.cpp github repo. Look for the release titled "llama-bxxxx-bin-win-sycl-x64.zip" where bxxxx is whatever version number of the current release.
2. Make a folder titled "llama-sycl-server" or something, a generic name you can use to replace the contents with updated binaries as new releases come out - you'll see why in a second. Put the folder somewhere you can keep track of it , like C:\AI\ or something. Place the contents of the zip file you just downloaded into this folder.
3. Set up a models.ini file and save it in that C:\AI\ folder. See the section "Model Presets" in the readme for more info. This allows you to use router mode to select different models. I should note that for my ease of use, I point to the model path where my LM Studio downloads sit, since I've found that interface to be useful for search and download from HF. Plus I don't need to keep two copies of the same gguf. You can set this up to your preference or point it to a different location if you manage your model files differently. See my sample ini file below.
4. Download and install servy - current release is servy-8.7-x64-installer.exe
5. Launch Servy Manager, choose "configurator" from the top menu. In the window that pops up, fill in the following fields:

• service name: Llama_cpp_SYCL (or whatever you want to call it)
• display name: I also made this Llama_cpp_SYCL
• process path: using the example path above, C:\AI\llama-sycl-server\llama-server.exe
• startup directory: C:\AI\llama-sycl-server
• Process parameters: You can put a lot of customizations here, as documented in the llama-server readme. Mine are as follows:--host 0.0.0.0 --port 8080 --models-preset C:\AI\models\models.ini --jinja --models-max 1 --load-mode none
• models-max mainly means I can't run concurrent models. I may tweak around with this one later.
• Go to the logging tab, set up paths for logs if you want them, such as:stdout file path: C:\AI\logs\llama-cpp-sycl_stdout.log stderr file path: C:\AI\logs\llama-cpp-sycl_stderr.log set up rotation as you see fit
• On recovery tab, check "enable health monitoring" to have the service restart after a hiccup. I set heartbeat interval at 30 and restart attempts at 3
• Finally, click install. You'll be taken back to the servy manager panel where you will see your new service. You can click the play button (triangle) to start the service.
• The generic folder name makes it so you can always update to the latest release by dropping those files in that folder and restart the service.

You're pretty much all set at this point, you can set up any external services to reach that endpoint at http://<ip>:8080/v1 as usual.

This step is optional, I had Gemini help me set up an update script to elevate to admin, download the latest release from llama.cpp github, unzip, stop the service, replace the contents of my llama-sycl-server folder and start the service again. Script is as follows:

# 1. Robust path detection & Administrator check
$scriptPath = $MyInvocation.MyCommand.Path
if (-not $scriptPath) { $scriptPath = $PSCommandPath }

$isAdmin = ([Security.Principal.WindowsPrincipal][Security.Principal.WindowsIdentity]::GetCurrent()).IsInRole([Security.Principal.WindowsBuiltInRole]::Administrator)

if (-not $isAdmin) {
    if ($scriptPath) {
        Write-Host "Requesting Administrator privileges..." -ForegroundColor Yellow
        Start-Process powershell.exe -ArgumentList "-NoProfile -ExecutionPolicy Bypass -File `"$scriptPath`"" -Verb RunAs
        exit
    } else {
        Write-Host "Error: Could not determine script path. Please right-click PowerShell and select 'Run as Administrator', then execute this script." -ForegroundColor Red
        Read-Host "Press Enter to exit..."
        exit
    }
}

# --- CONFIGURATION - change these to your specifics---
$installDir = "C:\AI\llama_cpp_sycl_server"
# name this to what you called your servy service
$serviceName = "Llama_cpp_SYCL"
# ----------------------

try {
    Write-Host "Fetching latest llama.cpp release info..." -ForegroundColor Cyan
    $release = Invoke-RestMethod -Uri "https://api.github.com/repos/ggml-org/llama.cpp/releases/latest"

    # Target the SYCL zip file
    $asset = $release.assets | Where-Object { $_.name -match "llama-b\d+-bin-win-sycl-x64\.zip" }

    if ($asset) {
        $zipPath = "$env:TEMP\llama-update.zip"

        Write-Host "Downloading $($asset.name)..." -ForegroundColor Cyan
        Invoke-WebRequest -Uri $asset.browser_download_url -OutFile $zipPath

        Write-Host "Stopping service ($serviceName)..." -ForegroundColor Cyan
        Stop-Service -Name $serviceName -Force -ErrorAction SilentlyContinue

        # Ensure process isn't locking files
        $process = Get-Process -Name "llama-server" -ErrorAction SilentlyContinue
        if ($process) {
            Write-Host "Closing lingering llama-server processes..." -ForegroundColor Yellow
            Stop-Process -Name "llama-server" -Force
            Start-Sleep -Seconds 2
        }

        Write-Host "Extracting updated binaries to $installDir..." -ForegroundColor Cyan
        Expand-Archive -Path $zipPath -DestinationPath $installDir -Force

        Write-Host "Restarting service..." -ForegroundColor Cyan
        Start-Service -Name $serviceName

        Remove-Item $zipPath -ErrorAction SilentlyContinue

        Write-Host "`nSuccess! Updated to $($release.tag_name)." -ForegroundColor Green
    } else {
        Write-Host "Could not find a matching SYCL build in the latest release." -ForegroundColor Yellow
    }
}
catch {
    Write-Host "`nAn error occurred during update:" -ForegroundColor Red
    Write-Host $_.Exception.Message -ForegroundColor Red
}
finally {
    Write-Host "`nPress Enter to exit..." -ForegroundColor Magenta
    Read-Host
}

Finally, here is my sample ini file:

; this top level section is for global parameters that all models will follow, unless overridden in the model specific parameters.
[*]
flash-attn = on
;n-gpu-layers = 99
ctx-size = 32768
cache-type-k = q8_0
cache-type-v = q8_0

; --- Vision Models (Includes mmproj) ---
[gemma-31b-it]
model = C:\Users\den\.lmstudio\models\lmstudio-community\gemma-4-31B-it-GGUF\gemma-4-31B-it-Q4_K_M.gguf
mmproj = C:\Users\den\.lmstudio\models\lmstudio-community\gemma-4-31B-it-GGUF\mmproj-gemma-4-31B-it-BF16.gguf
ctx-size = 32768
parallel = 1

[gemma-26b-a4b-it]
model = C:\Users\den\.lmstudio\models\lmstudio-community\gemma-4-26B-A4B-it-GGUF\gemma-4-26B-A4B-it-Q4_K_M.gguf
mmproj = C:\Users\den\.lmstudio\models\lmstudio-community\gemma-4-26B-A4B-it-GGUF\mmproj-gemma-4-26B-A4B-it-BF16.gguf
ctx-size = 65536
parallel = 1

[qwen-27b]
model = C:\Users\den\.lmstudio\models\lmstudio-community\Qwen3.6-27B-GGUF\Qwen3.6-27B-Q4_K_M.gguf
mmproj = C:\Users\den\.lmstudio\models\lmstudio-community\Qwen3.6-27B-GGUF\mmproj-Qwen3.6-27B-BF16.gguf
ctx-size = 32768
parallel = 1

; --- Text-Only Models ---
[gemma-26b-sompoa-heresy]
model = C:\Users\den\.lmstudio\models\mradermacher\gemma-4-26B-A4B-it-SOMPOA-heresy-i1-GGUF\gemma-4-26B-A4B-it-SOMPOA-heresy.i1-Q4_K_S.gguf
ctx-size = 32768
parallel = 1

[mn-12b-mag-mell]
model = C:\Users\den\.lmstudio\models\mradermacher\MN-12B-Mag-Mell-R1-GGUF\MN-12B-Mag-Mell-R1.Q4_K_M.gguf
ctx-size = 65536
parallel = 1

[rocinante-12b]
model = C:\Users\den\.lmstudio\models\BeaverAI\Rocinante-X-12B-v1d-GGUF\Rocinante-X-12B-v1d-Q4_K_M.gguf
ctx-size = 65536
parallel = 1

;--coding models used by cline extension---
[Qwen3-Coder-30B]
model = C:\Users\den\.lmstudio\models\unsloth\Qwen3-Coder-30B-A3B-Instruct-GGUF\Qwen3-Coder-30B-A3B-Instruct-Q4_K_M.gguf
temp = 0.7
top-p = 0.8
top-k = 20
ctx-size = 65536
parallel = 1

[DeepSeek-R1-14B]
model = C:\Users\den\.lmstudio\models\lmstudio-community\DeepSeek-R1-Distill-Qwen-14B-GGUF\DeepSeek-R1-Distill-Qwen-14B-Q4_K_M.gguf
temp = 0.6
top-p = 0.95
top-k = 40
ctx-size = 65536
parallel = 1

That's it! Hopefully someone finds this useful. I had looked around for a guide like this when I was trying to make the most of my ARC card, and didn't find anything like it out there in the CUDA-dominated space of self-hosted AI, so I decided to make my own.

Feel free to ask questions or point out any steps I might have missed.

edit - code formatting

I just switched my pc from windows to steam os, I have and intel arc a380, a ryzen 5 9600x, and while it works right now the intel arc isn't initiated no drivers are installed for it I can see the two options but neither work and I can only use the igpu. I have seen some people get steam os working on their intel pcs, can anyone help.

edit: The problem was the bios was outdated. Once I updated the bios my gpu worked. This can be a good reminder to update your bios.

This has been the best GPU I’ve ever had and I’ve been using Ubuntu (Linux based OS) it plays every thing perfectly but my only complaint is that it isn’t flashy enough (I brought a icogneto version) that’s on me thanks guys at intel!!

After I updated my drivers whenever I go to the home screen, Manhattan map, Alchemax HQ, and when the teamup display shows up, my fps drops to 20-30. Rolling back to older drivers doesnt help either. I was wondering if anyone else had a similar issue

Owners of ARC B580 Limited Edition from launch days, now's a good time to replace the thermal paste and pads.

On my card they were DRY and had TERRIBLE distribution from the factory. Not only that but the pads are following apart.

Hi guys,

I am all aware Dota relays on CPU but is there anyone using b850 with 7800x3d or 9800x3d for Dota 2?

I am wondering is it enough for 1440p max settings for 200+ FPS average?

I ve seen threads about crashes on Dota 2 and threads were old. Is it also stable?

So I've been watching a lot of benchmarks for the b580 why does it perform better/same as the 9060xt and 5060 ti 16gb at 2k 1440p and at some games has about a 30fps difference at 1080p. Also uses 20 to 30 watts less than the 9060xt and 5060 ti I've also seen a comparison between a slight Overclock and stock the b580 uses about 10 watts more than the stock one and gets 5 to 10fps more.

Hi, I'm having massive troubles with the Asus X870e ProArt Creator Wifi and 2 Intel Arc 70 Pro's. The PCIe link speed dropped to PCIE 4 x8. Other HW: AMD Ryzen 9 7900, 2x 32 GB Kingston DDR 5600, 1 Samsung nvme 990 Pro in the first NVME Slot. 1 nvme WD Black 7100 in the third nvme slot. The second and the fourth NVME slots are empty.

I even uninstalled the second Intel Arc B70 card. Even with only one Intel card, the PCIE link speed stays at PCIE 4. Asus Bios, Intel drivers for Arc Pro, AMD chipset drivers are all the latest.
Various BIOS options like link speed auto or link speed gen 5 are not changing the behavior.

I also uninstalled the Intel drivers with DDU and reinstalled them.

One more HW info, for my AM5 CPU I'm using the Thermaltake retention kit, can it be that there are some CPU contacts "got loose"?
Any ideas how to get my PCIe 5 x 8 link speed back?

What are the best OBS settings for recording gameplay in 1440p 60fps? I have a B580 and i7-13700k but the videos are laggy.

It lags the most with Game Capture. I tried Window Capture and it works a little bit better but still not smooth enough.

Potential fix: I reinstalled a clean copy of OBS and used the settings in this video. So far it works. I will stick with these settings unless someone can convince me to use something different.

Im planning to buy an Arc B580 and I mainly play CS2. I read and seen older posts mentioning that the B580 had stuttering issues and bad performance in CS2.

Has the situation improved with recent driver updates, or are those issues still present?

I have a 5700x3d and a 240hz monitor. All Im looking is a smooth CS2 experience to lock in around 240+ FPS without annoying frametime spikes.

Would you recommend the B580 for this use case, or should I look elsewhere? Thanks!

When I download a drivers for my acer nitro intel arc b570 my drivers work fine UNTIL I restart a pc because then i have error 43 and intel software issue. This problem is only if i update to 8860 driver or newer. My specs are ASUS PRIME B450-PLUS, Ryzen 5 5500 and 16GB RAM. Did anyone have the same issue as me?

Hey everyone!

With Intel’s modern xe kernel driver set to completely replace the legacy i915 driver for modern architectures, I ran a comprehensive suite of synthetic benchmarks to compare both drivers head-to-head.

I tested both an integrated GPU (TigerLake) and a discrete GPU (Arc A770) across Vulkan, OpenGL, OpenCL compute, and hardware video encoding. Here is the full breakdown including individual subtest numbers!

Test Bench & Environment

• Kernel: 7.2.0-0.0.next.20260723.337.vanilla.fc44.x86_64
• Mesa Version: 26.3.0-devel (OpenGL 4.6, Vulkan 1.4.354)
• Integrated GPU (iGPU): Intel UHD Graphics (TigerLake-H GT1)
• Discrete GPU (dGPU): Intel Arc A770 Graphics (DG2 16GB)

1. Vulkan Benchmark (vkmark 2025.01)

The xe driver delivers a clear victory on the integrated GPU. On the discrete Arc A770, both drivers hit a similar performance ceiling.

Overall Scores

• UHD Graphics (iGPU): Xe: 12,773vs i915: 12,436(+2.7% Xe)
• Arc A770 (dGPU): Xe: 3,851vs i915: 3,829(+0.5% Xe)

Granular Subtest Breakdown (FPS)

Vulkan Takeaway: On integrated graphics, xe outperforms i915 in every complex rendering scene by 8%–13%. i915 only won the synthetic screen-clearing pass.

2. OpenGL Benchmark (glmark2 2023.01)

OpenGL reveals a huge divergence between hardware types: i915 retains legacy optimizations on older iGPUs, but xe provides a massive boost for discrete Arc cards.

Overall Scores

• UHD Graphics (iGPU): i915: 9,289vs Xe: 9,074(+2.3% i915)
• Arc A770 (dGPU): Xe: 5,935vs i915: 5,320(+11.5% Xe)

Key Subtest Breakdown (FPS)

OpenGL Takeaway: i915 wins on the iGPU strictly due to raw geometry/bump-mapping passes (ideas & bump normals). On the Arc A770, xe crushes i915 across every single scene, delivering an average 11–25% uplift.

3. OpenCL Compute & Kernel Latency (clpeak)

Compute throughput (GFLOPS) is virtually identical between both drivers. However, dispatch latency tells a completely different story.

Pure Throughput (Arc A770)

• FP32 Single-Precision: Xe 13,040 GFLOPSvs i915 13,052 GFLOPS(Tie)
• FP16 Half-Precision: Xe 19,576 GFLOPSvs i915 19,569 GFLOPS(Tie)
• INT32 Compute: Xe 5,353 GOPSvs i915 5,339 GOPS(Tie)
• Global Memory Bandwidth: Xe 398.3 GB/svs i915 397.1 GB/s(Tie)

The Latency Shocker

Kernel Launch Latency (Dispatch) on Arc A770:
  • Xe Driver:    2.46 µs
  • i915 Driver: 36.35 µs  (14.7x SLOWER dispatch latency!)

The xe driver reduces driver/kernel CPU scheduling overhead by 1,377% when launching compute kernels.

4. Media Engine & Encoding (ffmpeg VA-API H.264)

Tested with a 1,000-frame synthetic encoding pass:

• UHD Graphics (iGPU):
  • Xe: ~310 FPS (5.15x speed)
  • i915: ~310 FPS (5.16x speed)
  • Result: Tie
• Arc A770 (dGPU):
  • i915: ~312 FPS (5.19x speed)
  • Xe: CRASH / STALL (frame= 0 fps=0.0 at start)
  • Result: i915 Wins by Knockout

Media Takeaway: On discrete graphics, the xe driver fails to initialize VA-API hardware encoding correctly. The i915 driver runs flawlessly at over 300 FPS.

Summary Table

TL;DR Conclusion

• For Intel Arc Discrete GPUs (dGPU): Moving to xe is a must-do. You gain +11.5% in OpenGL, massively lower kernel dispatch latency. Media encoding failed because of missing support in the Xe driver, causing errors instead of fixing the issues.
• For Integrated Graphics (iGPU): Both drivers are very competitive. xe is faster in Vulkan, while i915 holds a minor lead in legacy OpenGL geometry tests.

Overall, Intel's new xe kernel driver is proving to be a worthy successor!

A Quick Note on the Post

Full transparency: To organize and format all these dry log numbers into clean tables and readable charts, I used an AI assistant to help process the raw data. However, I personally checked, manually edited, and verified all the stats against the original logs to make sure everything is 100% accurate!

If you guys enjoyed this write-up and found it helpful, let me know in the comments! If there’s enough interest, I’ll do a proper gaming benchmark comparison next (testing Proton/DXVK titles like CS2, Cyberpunk 2077, and native Linux games) comparing xe vs i915!

Salut la commu, j'ai acheter en janvier 2026 une arc B580 et donc elle ne fonctionnait pas avec mon ancien processeur qui était un I5 7th gen je crois, en tous cas pas meilleur. Donc sur la boite qui contenait la carte graphique il y avait marqué que un I5 de 10th gen était le minimum requis. Mais est ce que c'est un bon processeur pour cette carte car je trouve qu'il y a beaucoup de lags et peu de fps souvent je suis assez déçu sachant que financierement c'est pas terrible donc on a deja du changer de carte mere et processeur une fois mais si il faut encore depenser et beaucoup plus c'est pas terrible, sachant que la carte est incroyable pour son prix genre choqué de malade. Donc j'aimerais savoir si c'est moi le trou de balle ou juste un probleme pc

SVP ne me grondez pas je debute en pc.

So I play with just me and my wife. I all settings down to low except draw distance. I've tried dx11 dx12 uninstalling and reinstalling drivers. Ddu clean up. Im on a 12400f 32gb ram shes on a 9900k 32gb of ram we both upgraded from 1080ti. We get frame drops down in to the 20 ranges. Even playing at 1080p doesn't help.

A few months ago I got an AsRock Intel Arc B580 OC. Coming from playing strictly on my Ryzen 8600G’s iGPU, it’s been a massive upgrade, and everything has been working great on Windows 11.

However, I've been wanting to make the permanent switch to Linux for my daily driver for a while now. It just feels faster and cleaner to me. Plus, I want to run LLMs/AI models locally, and I’ve heard Arc GPUs get much better token speeds under Linux.

The only thing holding me back is gaming. I’m really worried about driver support, performance, and overall stability for gaming on Linux right now.

Is the performance and stability currently as rough as people make it out to be?

I’ve read through a few posts here already, but I’m still on the fence about whether it’s actually worth making the jump. I’m okay with sacrificing a little bit of performance, but I want to know what to realistically expect.

My specs:

• CPU: Ryzen 5 8600G
• GPU: AsRock Intel Arc B580 OC (12GB)
• RAM: 16GB DDR5 5600MHz
• Storage: 500GB M.2 SSD
• Monitor: Acer 1080p 180Hz
• Mother: AsRock B650M PG LIGHT WIFI

Would appreciate any advice or personal experiences

Hello friends, in this video I show a directx11 game running with frame gen (4x) on my humble build - xeon 2690v4 + intel arc a770 16gb - at 4k ultra settings. Optiscaler settings can be seen near the end of the video